Tuesday, June 18, 2013

Informatica Powercenter 9 – New features


SQL overrides for uncached lookups: In previous versions We could create a SQL override for cached lookups only. We can create an SQL override for uncached lookup. We can include lookup ports in the SQL query.

Database deadlock resilience: In previous releases, when the Integration Service encountered a database deadlock during a lookup, the session failed. Effective in 9.0, the session will not fail. When a deadlock occurs, the Integration Service attempts to run the last statement in a lookup. We can configure the number of retry attempts and time period between attempts.
Lookup Transformation: Cache updates. We can update the lookup cache based on the results of an expression. When an expression is true, We can add to or update the lookup cache. We can update the dynamic lookup cache with the results of an expression.

Multiple rows return: We can configure the Lookup transformation to return all rows that match a lookup condition. A Lookup transformation is an active transformation when it can return more than one row for any given input row.
Passive transformation: We can configure the SQL transformation to run in passive mode instead of active mode. When the SQL transformation runs in passive mode, the SQL transformation returns one output row for each input row.

XML transformation: XML Parser buffer validation. The XML Parser transformation can validate an XML document against a schema. The XML Parser transformation routes invalid XML to an error port. When the XML is not valid, the XML Parser transformation routes the XML and the error messages to a separate output group that We can connect to a target.

SQL transformation: Auto-commit for connections. We can enable auto-commit for each database connection. Each SQL statement in a query defines a transaction. A commit occurs when the SQL statement completes or the next statement is executed, whichever comes first.

Session Log files rollover: We can limit the size of session logs for real-time sessions. We can limit the size by time or by file size. We can also limit the number of log files for a session.

Model Repository Service: Application service that manages the Model repository. The Model repository is a relational database that stores the metadata for projects created in Informatica Analyst and Informatica Designer. The Model repository also stores run-time and configuration information for applications deployed to a Data.

Integration Service: Create and enable a Model Repository Service on the Domain tab of Informatica Administrator.

Connection management: Database connections are centralized in the domain. We can create and view database connections in Informatica Administrator, Informatica Developer, or Informatica Analyst. Create, view, edit, and grant permissions on database connections in Informatica Administrator.

Deployment: We can deploy, enable, and configure deployment units in the Informatica Administrator. Deploy Deployment units to one or more Data Integration Services. Create deployment units in Informatica Developer.

Monitoring: We can monitor profile jobs, scorecard jobs, preview jobs, mapping jobs, and SQL Data Services for each Data Integration Service. View the status of each monitored object on the Monitoring tab of Informatica Administrator.

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1. Informatica 9 supports data integration for the cloud as well as on premise. You can integrate the data in cloud applications, as well as run Informatica 9 on cloud infrastructure.

2. Informatica analyst is a new tool available in Informatica 9.

3. There is architectural difference in Informatica 9 compared to previous version.

4. Browser based tool for business analyst is a new feature.

5. Data steward is a new feature.

6. Allows unified administration with a new admin console that enables you to manage power centre and power exchange from the same console.

7. Powerful new capabilities for data quality.

8. Single admin console for data quality, power centre, power exchange and data services.

9. In Informatica 9, Informatica data quality (IDQ) has been further integrated with the Informatica Platform and performance, manageability and reusability have all been significantly enhanced.

10. The mappings rules are shared between the browser based tool for analysts and the eclipse based development leveraging unified metadata underneath.

11. The data services capabilities in Informatica 9 , both over sql and web services ,can be used for real time dash boarding.

12. Informatica data quality provides world wide address validation support with integrated geocoding.

13. The ability to define rules and view and run profiles is available in both the Informatica developer (Thick client) and Informatica analyst (browser based tool-Thin client).these tools sit on a unified metadata infrastructure. Both tools incorporate security features like authentication and authorization ensuring..

14. The developer tool is now eclipse based and supports both data integration and data quality for enhanced productivity. It provides browser based tool for analysts to support the types of tasks they engage in, such as profiling data, specifying and validating rules & monitoring data quality.

15. There will a velocity methodology. Soon it’s going to introduce on I9.

16. Informatica has the capability to pull data from IMS, DB2 on series and series and from other several other legacy systems (Mainframe) environment like VSAM, Datacom, and IDMS etc.

17. There are separate tools available for different roles. The Mapping architect for Vision tool is designed for architects and developers to create templates for common data integration patterns saving developer’s tremendous amount of time.

18. Informatica 9 does not include ESB infrastructure.

19. Informatica supports open interfaces such as web services and can integrate with other tools that support these as well including BPM tool.

20. Informatica 9 complements existing BI architectures by providing immediate access to data through data virtualization, which can supplement the data in existing data warehouse and operational data store.

21. Informatica 9 supports profiling of Mainframe data. Leveraging the Informatica platform’s connectivity to Mainframe sources.

22. Informatica 9 will continue support feature of running the same workflow simultaneously.

23. Eclipse based environment is build for developers.

24. Browser based tool is a fully functional interface for business analysts.

25. Dashboards are designed for business executives.

26. There are 3 interfaces through which these capabilities can be accessed. Analyst tool is a browsed tool for analyst and stewards. Developers can use the eclipse based developer tool. Line of business managers can view data quality scorecards.

1 comment:

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